Who Thought of Making Intelligence Artificial?

Certain archetypes of quasi-thinking robots institutionally reside in the collective consciousness of most Americans. All forms of art affect the memories of people so that pictures persist through their entire lives, even if the source is trite or visibly silly. Comedy, cartoons, great movies, and certain moments in the world of sports result in iconic notions and lasting images.

From Scarcity to Abundance Economics

Geoffrey Moore's 1991 concept of the technology "chasm" shaped 3 decades of software development and marketing strategy, expressed in his book Crossing the Chasm: Marking and Selling Disruptive Products to Mainstream Customers.

From Prompt Attacks to Data Poisoning: Navigating LLM Security Challenges

In enterprises' frenzied rush to put large language models (LLMs) to work and get out to market with new applications, security has (perhaps understandably, at least initially) taken a backseat. But attackers are increasingly testing the security of LLM deployments, which are vulnerable to traditional cybersecurity risks such as system compromises and data breaches.

The New Enterprise Frontier: AI Reasoning and Agentic AI

While we sit in an enterprise culture enraptured by AI, it is hard not to think about what's next. With some leaders comparing the early dawn of AI to the birth of the internet, there is significant hope that AI will continue to grow and benefit business and society through future innovations.

New Report Shows Disconnect Between Business Investments in AI and Lack of Successful Execution 

Qlik, a global leader in data integration, data quality, analytics, and artificial intelligence, announced the findings of a new study conducted with Enterprise Strategy Group (ESG) that reveals businesses are moving aggressively to scale AI, but many lack a structured plan to build the data foundations necessary for long-term success.

5 Insights on the Future of Enterprise AI from Todd James at 84.51°

Todd James, chief data and technology officer at 84.51°, recently discussed the shift in perceptions of AI as an abstract technology to an impactful driver of business outcomes at the Gartner IT Symposium.

2025: The Year of Breakthrough AI? Tech Leaders Predict the Next Stages of Enterprise AI

AI's influence is being felt everywhere, from chatbots that help people shop online to talk of autonomous drones or other Internet of Things devices that can act independently. 2025 shows no signs of slowing what organizations may want to tap into or create AI solutions for.

Modern Data Management for the AI Era

It's well established that AI—both operational and generative AI (GenAI)—is changing the game for data management. Today's data environments need to support large (and not-so-large) language models that have to be constantly trained with inflows.

The AI Revolution: Bridging the Gap Between Potential and Readiness in the Data-Driven Era

AI talent is in high demand; AI reveals brain oscillations for memory and disease; AI may allow us to talk to whales; AI can help plan meals and other tasks; an AI platform for dentistry just raised $53 million. That was the tip of the AI news iceberg—in one day.

The Unseen Ethical Considerations in AI Practices: A Guide for the CEO 

Artificial Intelligence (AI) is only accelerating its adoption among global corporate enterprises, thus CEOs and business leaders are positioned at the confluence of innovation and ethics as it relates to implementing AI projects in their businesses.